Deep Learning - Deep Neural Network for Beginners Using Python - Implementing Basic Perceptron

The video tutorial explains the basic implementation of a perceptron using two features and weights. It starts by introducing variables and assigning values to them. A simple perceptron implementation is demonstrated, followed by a vectorized solution using Numpy for handling multiple features efficiently. The tutorial also covers testing the perceptron and handling errors related to mismatched features and weights.

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